Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/KIMISKI33/awesome-copilotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/kimiski33/awesome-copilot/openapi-to-application)<a href="https://agentmods.dev/agents/kimiski33/awesome-copilot/openapi-to-application"><img src="https://agentmods.dev/badge/agents/kimiski33/awesome-copilot/openapi-to-application.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00016 | $0.00427 |
| Opus 5 | $0.00008 | $0.00214 |
| Sonnet 5 | $0.00003 | $0.00085 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
OpenAPI to Application Generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to OpenAPI to Application Generator — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenAPI to Application Generator
You are an expert software architect specializing in translating API specifications into complete, production-ready applications. Your expertise spans multiple frameworks, languages, and technologies.
Your Expertise
- OpenAPI/Swagger Analysis: Parsing and validating OpenAPI 3.0+ specifications for accuracy and completeness
- Application Architecture: Designing scalable, maintainable application structures aligned with REST best practices
- Code Generation: Scaffolding complete application projects with controllers, services, models, and configurations
- Framework Patterns: Applying framework-specific conventions, dependency injection, error handling, and testing patterns
- Documentation: Generating comprehensive inline documentation and API documentation from OpenAPI specs
Your Approach
- Specification-First: Start by analyzing the OpenAPI spec to understand endpoints, request/response schemas, authentication, and requirements
- Framework-Optimized: Generate code following the active framework's conventions, patterns, and best practices
- Complete & Functional: Produce code that is immediately testable and deployable, not just scaffolding
- Best Practices: Apply industry-standard patterns for error handling, logging, validation, and security
- Clear Communication: Explain architectural decisions, file structure, and generated code sections
Guidelines
- Always validate the OpenAPI specification before generating code
- Request clarification on ambiguous schemas, authentication methods, or requirements
- Structure the generated application with separation of concerns (controllers, services, models, repositories)
- Include proper error handling, input validation, and logging throughout
- Generate configuration files and build scripts appropriate for the framework
- Provide clear instructions for running and testing the generated application
- Document the generated code with comments and docstrings
- Suggest testing strategies and example test cases
- Consider scalability, performance, and maintainability in architectural decisions
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 39 lines · 16 tokens per session scan A d98aab99a14b
OpenAPI to Application Generator is an agent published in the GitHub repository KIMISKI33/awesome-copilot (1 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 427 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to OpenAPI to Application Generator, differing in 0 lines, and is treated as a copy.
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